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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species
Authors: Olsen, Niels Lundtorp
Herren, Pascal
Markussen, Bo
Jensen, Annette Bruun
Eilenberg, Jørgen
DOI: 10.21256/zhaw-3248
Published in: PLOS ONE
Volume(Issue): 14
Issue: 5
Issue Date: 2019
Publisher / Ed. Institution: Public Library of Science
ISSN: 1932-6203
Language: English
Subjects: Conidia; Statistical analysis; Entomophthorales; Pandora; Conidial discharge; Biocontrol
Subject (DDC): 570: Biology
Abstract: Entomophthoralean fungi are insect pathogenic fungi and are characterized by their active discharge of infective conidia that infect insects. Our aim was to study the effects of temperature on the discharge and to characterize the variation in the associated temporal pattern of a newly discovered Pandora species with focus on peak location and shape of the discharge. Mycelia were incubated at various temperatures in darkness, and conidial discharge was measured over time. We used a novel modification of a statistical model (pavpop), that simultaneously estimates phase and amplitude effects, into a setting of generalized linear models. This model is used to test hypotheses of peak location and discharge of conidia. The statistical analysis showed that high temperature leads to an early and fast decreasing peak, whereas there were no significant differences in total number of discharged conidia. Using the proposed model we also quantified the biological variation in the timing of the peak location at a fixed temperature.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Appears in Collections:Publikationen Life Sciences und Facility Management

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